The Mahalanobis distance is a measure of the distance between a point and a probability distribution , introduced by P. C. Mahalanobis in 1936. [1] The mathematical details of Mahalanobis distance first …

The Mahalanobis distance measures distance relative to the centroid — a base or central point which can be thought of as an overall mean for multivariate data.

May 14, 2025 · The Mahalanobis distance is a robust multivariate distance metric that transcends the limitations of the Euclidean distance by accounting for variable correlations and variations.

Mahalanobis distance is an effective multivariate distance metric that measures the distance between a point (vector) and a distribution. It has excellent applications in multivariate anomaly detection, …

P.C. Mahalanobis, Indian statistician who devised the Mahalanobis distance and was instrumental in formulating India’s strategy for industrialization in the Second Five-Year Plan (1956–61).

Mahalanobis distance is a multivariate distance metric that measures how far a point is from the center of a distribution, taking into account correlations between variables.

Mahalanobis Distance is a powerful statistical tool that provides a robust measure of distance in multivariate data analysis. Its ability to account for correlations and variances within the data makes it …

Named after Indian statistician Prasanta Chandra Mahalanobis, the method computes how far a point is from the mean of the distribution — not in terms of raw distance, but in standard deviation units …

Jan 16, 2024 · The Mahalanobis distance between two samples (from distributions with identical covariance matrices), or between a sample and a distribution, is defined by replacing the …

Prasanta Chandra Mahalanobis OBE, FNA, [5] FASc, [6] FRS [2] (29 June 1893 – 28 June 1972) was an Indian scientist and statistician. He is best remembered for the Mahalanobis distance, a statistical …